Jane Street Application Guide

Jane Street is a proprietary trading firm and market maker. It trades only its own capital, with no outside clients, no assets under management and no management or performance fees, so it does not do advisory, sell-side banking or wealth management. Crucially it runs a single, centralized firm-wide book rather than the pod model used by multi-manager funds like Millennium or Citadel: there are no isolated portfolio managers, no internal silos and no automatic cut for underperforming desks. Risk is aggregated centrally and profits are pooled and shared, which is what produces the collaborative, teaching-oriented culture and the firm-wide compensation structure.

No. Prior OCaml or functional-programming experience is explicitly not required to apply. Jane Street is the world's largest commercial OCaml user, but it tests for language-agnostic algorithmic reasoning and clean architecture, then trains all incoming hires in OCaml through extensive internal courses. For the online assessment and live coding rounds you should use whatever language you are most fluent in, typically Python, C++ or Java; the platforms also support OCaml if you prefer it. That said, demonstrating comfort with immutability, recursion, pattern matching and type safety is genuinely valued, because it matches how the whole firm reasons about systems.

You need an intuitive mastery of discrete probability, combinations and permutations, conditional probability and Bayes' theorem, expected value, and standard game theory. Traders must execute mental math, EV and conditional probability flawlessly in real time and out loud, while researchers are pushed into deeper statistical inference, linear algebra, time-series and stochastic processes derived from first principles. Recommended preparation includes "Heard on the Street" by Timothy Falcon Crack, "A Practical Guide to Quantitative Finance Interviews" by Xinfeng Zhou (the Green Book), and "Fifty Challenging Problems in Probability" by Frederick Mosteller, plus daily Zetamac-style arithmetic drills to build speed.

Apply as a Trader if you have exceptional mental-math speed, thrive on real-time risk and decision-making under uncertainty, and enjoy live market-making games. Apply as a Software Engineer if you are obsessed with clean system design, algorithmic efficiency, code architecture and low-latency systems. Apply as a Quantitative Researcher if you prefer long-horizon inductive modeling, statistical inference, data science and backtesting hypotheses on historical data; a PhD in ML, statistics, math or physics is common there but not mandatory. Pick one track and commit: applying to all three signals a lack of focus and is a frequent early-screen rejection trigger.

Yes, comprehensively. The Trader, Software Engineer and Quantitative Researcher roles are STEM-designated, so F-1 graduates can combine the 12-month OPT with the 24-month STEM extension, giving a three-year runway across H-1B lotteries. Jane Street covers all H-1B filing costs and uses alternative paths (O-1 for international olympiad medalists and others with extraordinary achievement, TN for Canadians and Mexicans) when the lottery does not select a candidate. It also leverages its London, Amsterdam, Hong Kong and Singapore offices to rotate employees internationally if US authorization lapses, and initiates green-card sponsorship early in full-time tenure.

Very fast. For strong candidates applying early in the rolling cycle, the whole process from application to offer can run in three to four weeks, with technical rounds and superdays scheduled within days of each pass. It is also extraordinarily selective: under 10% clear the resume sift, 15-20% of the remainder clear the OA, and the final-round to offer conversion is roughly 10-15%. The trading-track acceptance rate is estimated well under 1% of all applicants. Applications open in late summer and are reviewed first-come, so applying within the first 24-48 hours is one of the highest-leverage things you can do.